import numpy as np
import pylab as plt

fpr=np.array([0.01,0.02,0.03,0.07,0.11,0.18,1])
tpr=np.array([0,0.67,0.75,0.8,0.83,0.96,1])
plt.figure(figsize=(6,6))
plt.title('Validation ROC')
plt.plot(fpr, tpr, 'b', label = 'Val AUC = %0.3f' % 0.891)
plt.legend(loc = 'lower right')
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0, 1])
plt.ylim([0, 1])
plt.ylabel('True Positive Rate')
plt.xlabel('False Positive Rate')
plt.show()
